Enterprise-grade AI reliability for banking and finance.
AI capability has caught up. Confidence has not. Banks are now asked to prove that every AI decision can be audited, explained and trusted at production load. This brochure shows how QKTech closes that trust gap, from the first eval to every agent in production.
What this brochure covers
- The trust gap: why AI capability is outpacing production confidence, and what it costs regulated businesses
- Domain-specific evals for payments, underwriting and customer servicing, built for the failure modes that drive regulatory exposure
- The AI Center of Reliability: five disciplines, a maturity baseline and the team structure to run it
- Hybrid agentic workflows: why 72% of broken AI journeys are not the model, and the four-layer reliability stack that fixes them
- Voice agents in production: how one universal bank moved from failed pilot to live at scale
- The QK AI Agent Catalogue: 20+ agents designed and shipped across BFSI and beyond
What we deliver
- Audit-grade evals: Decision rationales captured, sampled and replayable, ready for the regulator.
- Domain reliability libraries: Pre-built eval banks for payments, underwriting, KYC, claims and voice servicing.
- Production observability: Live traces, drift, hallucination, cost and CSAT, fed back into governance.
- Region-tuned policy agents: Agents that interpret local regulation: RBI, MAS, OCC, the EU AI Act and beyond.
Proven impact
Conversational AI at a universal bank:
- 27% → 8%: human transfer rate
- 62% → 95%: AI decision accuracy
- 120M+: customers served, with 175K+ live transactions handled
Download the brochure to see the full framework and results.
Source check
Every claim above is taken from the brochure (pages 1–12). Flag before publishing: page 9 of the brochure shows AI decision accuracy as “2% → 95%” in the stat row but “62% → 95%” in the bar chart and on page 3. The page uses 62% → 95%; please correct the brochure stat row before the PDF goes live. The brochure also still carries the QualityKiosk logo; if the PDF is rebranded to qktech before upload, no copy here changes.
